Modelling Bacteria Colony Shape Adaption Through Agent Technology
Nowadays the occurrence of antibiotic -resistant bacteria is a major public health threat in world wide. In that situation, researchers in medical laborator y are highly enthusiastic to finding the shapes in bacterial colonies for their findings about antibiotics. Agent technology is one of Artificial Intelligence technique best suited to address this kind of biological phenomena which involve group dynamics. Most of the time computer simulations are used extensively for studying those types of artificial intelligence applications. Therefore the research paper presents a simulator that will be helpful for the researchers in medical laboratory and students in Biochemistry and Molecular Biology to finding the shapes in bacterial colonies for their findings. This research addresses the shape adaption of colonic bacteria: Pediococcus acidilactici species which belong to the Pediococcus subtype under Coccus type. The research focuses on applying the behavior of swarm of agents that interact upon each other to achieve a common goal. This simulation represents each bacterium as a programmable agent and allowing them to communicate with each other through environment whi ch acts as the message agent to form the ultimate shape of the colony.
Department of Computer Science, Faculty of Science, University of Ruhuna, Sri Lanka, 2Department of Computational Mathematics, Faculty of Information Technology, University of Moratuwa, Sri Lanka firstname.lastname@example.org, email@example.com